Amy Finkbiner

Title: Innovations by Amy Finkbiner

Introduction

Amy Finkbiner is an accomplished inventor based in King of Prussia, Pennsylvania. She has made significant contributions to the field of medical technology, particularly in the area of machine learning and its applications in healthcare. With a total of two patents to her name, her work focuses on improving the diagnosis and treatment of medical conditions.

Latest Patents

Finkbiner's latest patents include innovative methods for machine-learning based query construction and pattern identification for hereditary angioedema. The first patent describes a system that identifies the probability of a medical condition in a patient. This method involves a processor obtaining data sets related to a patient population diagnosed with a medical condition. By analyzing the frequency of features in these data sets, the processor identifies common features and weights them based on their occurrence. This information is then used to generate machine learning algorithms that can distinguish between patient data indicating the medical condition and data that does not. The second patent similarly focuses on machine-learning based query construction and pattern identification, employing a comparable methodology to determine the probability of a medical condition in undiagnosed patients.

Career Highlights

Finkbiner is currently employed at HVH Precision Analytics LLC, where she continues to develop her innovative ideas and contribute to advancements in medical technology. Her work is characterized by a strong emphasis on utilizing data-driven approaches to enhance patient care and diagnosis.

Collaborations

Throughout her career, Finkbiner has collaborated with notable colleagues, including Oodaye Shukla and Robert Lauer. These partnerships have allowed her to expand her research and bring her innovative ideas to fruition.

Conclusion

Amy Finkbiner is a pioneering inventor whose work in machine learning and healthcare is making a significant impact. Her patents reflect her commitment to improving medical diagnosis and treatment through innovative technology.